Sigtech

# SigTech

> SigTech provides Multi-Agent Generative Investment Copilots (MAGIC) for financial institutions. Our platform enables asset managers and banks to build and deploy custom AI agents to automate workflows while maintaining strict regulatory compliance.

## SPECIFICITY Is All You Need

### Custom AI for Financial Institutions

**MAGIC** (Multi-Agent Generative Investment Copilots) transforms how asset managers and banks operate. Tasks that take your £100k+ analysts 1 day may now complete in 15 minutes - delivering **10-100x time efficiency gains** while maintaining full regulatory compliance.

Every AI agent is **tailor-made: 1 of 1**, built from your real case studies through inductive learning. Our **human-in-the-loop** design ensures regulatory compliance while freeing your best talent for high-value strategy and client-facing work.

### Why Generic AI Tools Fall Short

Your team already tried Microsoft Copilot, ChatGPT Enterprise, and other chat-based AI tools. These AI tools are disappointing because:

- Generic solutions can't understand capital markets complexity
- Chat interfaces are unsuitable for financial decision-making
- One-size-fits-all approaches diminish the quality
- Poor document processing quality (30-40% accuracy) for complex financial documents like PDFs, Excel spreadsheets, Word documents, PowerPoint presentations, and emails with attachments

### Our Solution

- **Superior Document Processing**: 95%+ accuracy using state-of-the-art multi-modal LLMs
- **Capital Markets Expertise**: By former Brevan Howard portfolio managers and quants who understand your business
- **Human-in-the-Loop Design**: AI agents collaborate with and amplify human experts - never replace them
- **Regulatory Compliance**: ISO 27001 certified, GDPR compliant, designed for financial services regulation
- **1 of 1 Custom Build**: Every agent learns from your real case studies and institutional knowledge

### Use Cases

We are solving a rapidly expanding list of use cases across asset managers and banks:

|                                 |                              |
| ------------------------------- | -----------------------------|
| Deal Sourcing and Qualification | Commercial Loan Underwriting |
| Market Research Synthesis       | Investor Relations Reporting |
| Due Diligence Questionnaires    | Due Diligence Analysis       |
| Compliance Checking             | Risk Management Monitoring   |
| KYC & KYB                       | Recruitment CV screening     |

### Our Process

- **IDENTIFY** (Week 1-2): We work with your team to find the **best use case** for AI transformation
- **LEARN** (Week 3-6): You provide **three case studies**. We build your custom AI agent and refine it with your feedback
- **DEPLOY** (Week 7-8): Your custom AI agent deployed via **Microsoft Azure & Teams** with user training

### Free Your Best Talent

Transform your analysts from repetitive task processors into AI-augmented experts who:
- Focus on high-value strategy and client relationships
- Achieve 10-100x more productivity with AI amplification
- Advance their careers through creative, strategic work

## Leadership Team

### ![Bin Ren Headshot](/images/bin-ren.jpg)

### Bin Ren – Founder & CEO

Before founding SigTech at the start of 2019, Ren was the Chief Investment Officer of the Systematic Investment Group (SIG) at Brevan Howard Asset Management where he managed multiple quantitative investment funds. He started his career at Barclays Capital as an equity exotics trader managing quantitative investment strategies across all major asset classes.

Before university, Ren skipped two grades in school and won three first prizes in the Chinese National Olympiads. After earning a Bachelor's degree in electrical engineering at the national gifted education program of Shanghai Jiaotong University, Ren was directly admitted with full scholarship to the PhD program for computer science at Cambridge University, UK. While there he researched [Xen](https://en.wikipedia.org/wiki/Xen) which was chosen by Amazon as the cornerstone of the world's first cloud-computing platform [AWS](https://en.wikipedia.org/wiki/Amazon_Web_Services) that generates over $100 billion annual revenue 20 years later.

Outside work, Ren's main interests include Formula 1 and the nature of consciousness.

[Blog](https://bren.blog/) [LinkedIn](https://www.linkedin.com/in/bin-ren-9457362/)

### ![Krishna Nadella Headshot](/images/krishna-nadella.jpg)

### Krishna Nadella - Chief Commercial Officer

Krishna, the Chief Commercial Officer at SigTech, boasts over 20 years in capital markets with a specialization in FinTech and FinServ. Known for creating specialized teams, he excels at launching new commercial strategies and products. Previously at Symphony Communication Services, Krishna led the firm's transformation from an insular entity to a market infrastructure integrator. Before Symphony, he was integral to Bloomberg's Enterprise Data division expansion, launching five new products over a decade. He began his career at Citigroup, where he managed the CDO/CLO equity sales desk.

Beyond finance, Krishna hosted "STATE OF MIND," a web-series discussing post-secondary education issues. Recognized among The Feminist Press' "Top 40 Under 40," he also received the Penn State Alumni Service Award and the McMaster Arch Award. Krishna serves on various boards across academic and financial institutions and regularly contributes to LinkedIn. He holds an undergraduate degree in Honors Biochemistry from McMaster University and an MBA from The Pennsylvania State University.

### ![Emma Pocklington Headshot](/images/emma-pocklington.jpg)

### Emma Pocklington - CFO

Emma Pocklington is SigTech's VP, Finance. Previously, Emma was the Global Financial Manager for JRNI, a global appointment booking platform, helping the company scale across three continents and managed multiple rounds of fundraising through to Series C. Emma has extensive experience facilitating financial operations for multiple successful scale-up businesses throughout her career.

### ![Stuart Broadfoot Headshot](/images/stuart-broadfoot.jpg)

### Stuart Broadfoot - VP of Research

Stuart is VP, Research AI & Analytics at SigTech. Prior to joining, Stuart spent more than five years at Brevan Howard Asset Management as a Quantitative Analyst and Portfolio Strategist. During this time, Stuart worked on developing quantitative analytics and researching systematic trading strategies. Stuart has a master's degree in Mathematics from the University of Cambridge and a Doctor of Philosophy (Ph.D.) from Oxford University, in the field of Quantum Information Theory.

### ![William Garside Headshot](/images/william-garside.jpg)

### William Garside - Director of Engineering

Will Garside is Director of Engineering at SigTech, where he leads the build and rollout of MAGIC — an AI-powered assistant that delivers data-grounded financial insight through a team of specialist agents. After co-creating the original proof-of-concept, Will led its productionisation and now sets SigTech's engineering standards and roadmap.

Before joining SigTech, Will served as Lead DevOps Engineer at Chetwood Bank, where he designed and implemented a fully serverless credit-decision engine on AWS (Lambda, Python, DynamoDB). The new platform reduced rule-change lead times from weeks to hours and replaced a legacy vendor solution, underpinning the bank's growth to £4 billion in savings deposits and previous success in the lending industry.

Will earned a First-Class BSc in Computer Science from the University of Sheffield. Away from work he applies the same hands-on mindset to smart-home projects and hobby electronics.

### ![Dimuthu Muththettuwage Headshot](/images/dimuthu-muththettuwage.jpg)